Abstract
In this paper, the author shows that the conventional least squares estimator in the standard linear model is uniquely defined by a system of axioms based on transformations of that model. The author also shows that the corresponding system of axioms for the error variance parameter yields an estimator that is uniquely defined up to a factor of scale. Copyright 1989 by Blackwell Publishing Ltd
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